Our primary use case is in the compute space and the generative AI space. We use it as a computing platform, Elastic Cloud, and to generate AI services.
I have been working with customers who use Amazon EC2 Auto Scaling for handling their workload on servers and scaling up the infrastructure as required. As an instructor and cloud consultant, I help clients maintain and scale their infrastructure using this service to achieve zero downtime.
Java Architect - AWS Solutions Architect Certified and Java Oracle Certified OCA7,8, OCP8, OCP11 at QAT Global | Custom Software Development
Real User
Top 10
2024-10-23T13:39:00Z
Oct 23, 2024
At CPA, we have a product where we manage several aspects, but essentially, one of them concerns managing campaigns during specific days in the USA, such as holidays or weekends. During these times, we experience a high demand from people using the systems, which necessitates the use of Auto Scaling.
In my company, we use Auto Scaling for EC2 instances. I use Auto Scaling with a load balancer when there is very high internet traffic and we need to serve more users. The load balancer will just scale up to serve more users.
We have several instances and applications that we run using WordPress. For that, I needed an easy, secure, and faster solution with different options to back up the website and data. Amazon EC2 offers options to back up data using the S3 version control system, which worked really well for us. Moreover, it's cost-effective. Having a load balancer in between is very helpful when you have huge traffic. It has been beneficial for handling around 80,000 to 200,000 visitors a month on our blog.
We use EC2 as a disaster-recovery target and also to host a web server. We've got a demo account that uses AT&T Azure managed services where customers can log into our software.
Our use case is for when there's a need for additional processing capacity. Broadly speaking, the platform has inbuilt intelligence that detects a high workload, and then automatically scales out to accommodate the increased demand for capacity. We have production systems that run 24/7.
We use this solution to scale up the number of VM's that are running during times of heavy traffic or high workload. It covers 5,000 servers over 10 different environments for us.
DevOps Lead at a media company with 5,001-10,000 employees
Real User
Top 20
2023-01-10T16:13:00Z
Jan 10, 2023
Amazon EC2 Auto Scaling is a function inside Amazon EC2. We are using it to scale the capacity of our internet services. It automatically increases capacity when usage surpasses certain thresholds to prevent any issues with capacity.
Solution Architect, DevOps Engineer at sonne technology
Real User
Top 10
2022-11-07T22:14:26Z
Nov 7, 2022
Our company uses the solution to cluster cloud services for our customers who need elastic computing. Our customers currently have thousands of service users.
Senior Software and Cloud Engineer at Velocis Technologies LLC
Real User
2022-07-19T11:48:14Z
Jul 19, 2022
We use this solution to scale up and scale down. You can have 1,000 people connecting to your network or you can have 50,000. The solution scales up to cope with the extra demand.
Architect - Database Administration at Mitra Innovation
Real User
Top 5
2022-06-03T19:27:57Z
Jun 3, 2022
The client had a requirement to make sure there was a specific amount of memory utilization for each of the EC2 instances. When it reached its maximum or a threshold limit. The client wanted the Auto Scaling to scale up more easily to instances onto the system, with all the relevant security configurations, and everything available. That was his business problem. He didn't want to pay a lot at once, however, he didn't want to leave the system in a state that should not be in a position to be unable to handle jobs due to heavy usage or if there is a demand. The client wanted to make sure the demand was met and he wanted to make sure the service that he was obtaining from AWS was not idle. Therefore, we provided the Auto Scaling EC2s. While we designed the solution, we identified what could be the minimum utilization based on the on-prem solution that they had. It was kind of a migration solution. The client had an on-prem environment and wanted to go into AWS in a cost-effective way. To ensure cost-effectiveness, we proposed Auto Scaling, so that if there was a heavy demand for memory, Auto Scaling could start scaling up based on the demand. And then, when the demand is reduced, it would automatically scale down and run on a specific minimum usage so that the cost will be at the minimum.
EC2 and Auto Scaling are solutions to deploy computer VMs. When you use Auto Scaling, you have many advantages because the platform is elastic. When your platform requires high performance, Auto Scaling can provide this and avoid replication. For clients, I deployed many Auto Scaling solutions for different applications, and currently I'm using Auto Scaling to deploy FortiGate. FortiGate is a next-generation firewall that provides security for AWS in general.
We use Amazon EC2 Auto Scaling for our EC2 instances. To run our application platform, we are using EC2 instances. EC2 is nothing but one machine, e.g. it's a remote machine. We are satisfied with the service, and we are especially good at using the service. We are taking clean servers, e.g. our machines run AWS, and we manage everything ourselves.
Amazon EC2 Auto Scaling is used if your computers are heavily using resources or heavily loaded, this is going to impact your backend environment. Therefore if your computers need more CPUs or additional RAM associated, then you can use Auto Scaling to take care of it. We then do not face any such structural issues with the VMs where we host the control environment and application.
Solutions Architect at a financial services firm with 1,001-5,000 employees
Real User
Top 10
2021-10-06T14:50:16Z
Oct 6, 2021
Amazon EC2 Auto Scaling helps maintain application availability and allows you to add or remove EC2 instances. More than one instance can run at one time. You can start and stop instances at any time. It can run with any application. Linux, as an example, can be installed with it. Once the EC2 has been created, you can easily log into it.
I use it for running Tomcat applications to restore the RDS, the database for getting the data. It then generates a UI. I am using it only for practicing purposes. I am trying to test the auto-scale feature and see how it works when we increase any workload.
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.
Our primary use case is in the compute space and the generative AI space. We use it as a computing platform, Elastic Cloud, and to generate AI services.
I have been working with customers who use Amazon EC2 Auto Scaling for handling their workload on servers and scaling up the infrastructure as required. As an instructor and cloud consultant, I help clients maintain and scale their infrastructure using this service to achieve zero downtime.
At CPA, we have a product where we manage several aspects, but essentially, one of them concerns managing campaigns during specific days in the USA, such as holidays or weekends. During these times, we experience a high demand from people using the systems, which necessitates the use of Auto Scaling.
We use the product as a computing machine. By clicking on the portal, we can create different machines with specific features, like memory size.
We have EC2-based architectures. We deploy our applications on EC2. We also use Amazon RDS.
In my company, we use Auto Scaling for EC2 instances. I use Auto Scaling with a load balancer when there is very high internet traffic and we need to serve more users. The load balancer will just scale up to serve more users.
We have several instances and applications that we run using WordPress. For that, I needed an easy, secure, and faster solution with different options to back up the website and data. Amazon EC2 offers options to back up data using the S3 version control system, which worked really well for us. Moreover, it's cost-effective. Having a load balancer in between is very helpful when you have huge traffic. It has been beneficial for handling around 80,000 to 200,000 visitors a month on our blog.
We use the solution to increase CPU and memory size.
We use the solution to autoscale the number of servers per specific business requirements.
We use the solution to launch the instances.
We use EC2 as a disaster-recovery target and also to host a web server. We've got a demo account that uses AT&T Azure managed services where customers can log into our software.
I use the product for its availability and scalability features.
Our use case is for when there's a need for additional processing capacity. Broadly speaking, the platform has inbuilt intelligence that detects a high workload, and then automatically scales out to accommodate the increased demand for capacity. We have production systems that run 24/7.
It is used to run applications.
We use this solution to scale up the number of VM's that are running during times of heavy traffic or high workload. It covers 5,000 servers over 10 different environments for us.
We are using Amazon EC2 Auto Scaling to horizontally scale. The solution can be deployed on the cloud, and on-premise, and can be configurated hybrid.
Amazon EC2 Auto Scaling is a function inside Amazon EC2. We are using it to scale the capacity of our internet services. It automatically increases capacity when usage surpasses certain thresholds to prevent any issues with capacity.
Our primary use case is for infographic designing.
Our company uses the solution to cluster cloud services for our customers who need elastic computing. Our customers currently have thousands of service users.
There is a requirement in one of the applications we need to scale up EC2s on an ad-hoc basis when the demand arises for Business continuity.
We have the average EC2s spurned on and the autoscale policy is set up to spin more EC2 when more memory is on the demand.
This has helped us to drastically reduce the cost of continuing the service while Business continuity is maintained.
We use this solution to scale up and scale down. You can have 1,000 people connecting to your network or you can have 50,000. The solution scales up to cope with the extra demand.
The client had a requirement to make sure there was a specific amount of memory utilization for each of the EC2 instances. When it reached its maximum or a threshold limit. The client wanted the Auto Scaling to scale up more easily to instances onto the system, with all the relevant security configurations, and everything available. That was his business problem. He didn't want to pay a lot at once, however, he didn't want to leave the system in a state that should not be in a position to be unable to handle jobs due to heavy usage or if there is a demand. The client wanted to make sure the demand was met and he wanted to make sure the service that he was obtaining from AWS was not idle. Therefore, we provided the Auto Scaling EC2s. While we designed the solution, we identified what could be the minimum utilization based on the on-prem solution that they had. It was kind of a migration solution. The client had an on-prem environment and wanted to go into AWS in a cost-effective way. To ensure cost-effectiveness, we proposed Auto Scaling, so that if there was a heavy demand for memory, Auto Scaling could start scaling up based on the demand. And then, when the demand is reduced, it would automatically scale down and run on a specific minimum usage so that the cost will be at the minimum.
EC2 and Auto Scaling are solutions to deploy computer VMs. When you use Auto Scaling, you have many advantages because the platform is elastic. When your platform requires high performance, Auto Scaling can provide this and avoid replication. For clients, I deployed many Auto Scaling solutions for different applications, and currently I'm using Auto Scaling to deploy FortiGate. FortiGate is a next-generation firewall that provides security for AWS in general.
We use Amazon EC2 Auto Scaling for SAP workloads to the cloud.
We use Amazon EC2 Auto Scaling for our EC2 instances. To run our application platform, we are using EC2 instances. EC2 is nothing but one machine, e.g. it's a remote machine. We are satisfied with the service, and we are especially good at using the service. We are taking clean servers, e.g. our machines run AWS, and we manage everything ourselves.
Amazon EC2 Auto Scaling is used if your computers are heavily using resources or heavily loaded, this is going to impact your backend environment. Therefore if your computers need more CPUs or additional RAM associated, then you can use Auto Scaling to take care of it. We then do not face any such structural issues with the VMs where we host the control environment and application.
Amazon EC2 Auto Scaling helps maintain application availability and allows you to add or remove EC2 instances. More than one instance can run at one time. You can start and stop instances at any time. It can run with any application. Linux, as an example, can be installed with it. Once the EC2 has been created, you can easily log into it.
We are using this product within our cloud-based development environment.
I use it for running Tomcat applications to restore the RDS, the database for getting the data. It then generates a UI. I am using it only for practicing purposes. I am trying to test the auto-scale feature and see how it works when we increase any workload.